/*
 * Licensed to the Apache Software Foundation (ASF) under one or more
 * contributor license agreements.  See the NOTICE file distributed with
 * this work for additional information regarding copyright ownership.
 * The ASF licenses this file to You under the Apache License, Version 2.0
 * (the "License"); you may not use this file except in compliance with
 * the License.  You may obtain a copy of the License at
 *
 *    http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package org.apache.spark.sql.types

import org.apache.spark.sql.execution.FileSourceScanExec
import org.apache.spark.sql.execution.datasources.orc.OrcFileFormat
import org.apache.spark.sql.execution.datasources.parquet.ParquetFileFormat
import org.apache.spark.sql.internal.SQLConf

object ColumnarBatchSupportUtil {
   def checkColumnarBatchSupport(conf: SQLConf, plan: FileSourceScanExec): Boolean = {
       val isSupportFormat: Boolean = {
           plan.relation.fileFormat match {
              case _: OrcFileFormat =>
                  conf.orcVectorizedReaderEnabled
              case _: ParquetFileFormat =>
                conf.parquetVectorizedReaderEnabled
              case _ =>
                  false
           }
       }
       val supportBatchReader: Boolean = {
           val partitionSchema = plan.relation.partitionSchema
           val resultSchema = StructType(plan.requiredSchema.fields ++ partitionSchema.fields)
           (conf.orcVectorizedReaderEnabled || conf.parquetVectorizedReaderEnabled) && resultSchema.forall(_.dataType.isInstanceOf[AtomicType])
       }
       supportBatchReader && isSupportFormat
   }
}
 
